COVID-19 RUMOR: a classified dataset of COVID-19 related online rumors in Brazilian Portuguese

Published: 30 July 2020| Version 1 | DOI: 10.17632/pz2j957rzc.1
Contributors:
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, Ivanovitch Silva, Breno Santos

Description

The dataset is composed of rumors and non-rumors related to COVID-19 collected from three different online sources: (a) the Brazilian Ministry of Health official website, (b) a journalistic initiative named boatos.org focused on debunking online rumors, including COVID-19, and (c) the O Globo news that provides a special track to follow rumors about COVID-19. The Brazilian Ministry of Health dataset (saude.gov.csv) is composed of 79 rumors and 05 non-rumors texts classified by the own Brazilian government; the boatos.org dataset (boatos.org.csv) is composed of 951 rumors classified and debunked by a team of journalists; and the O Globoc dataset (oglobo.com.csv) is composed of 261 rumors and 03 non-rumors also classified by journalists. In total, the COVID-19 RUMOR dataset has 1291 rumors and 08 non-rumors.

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Institutions

Universidade de Pernambuco

Categories

COVID-19

Licence